{"id":"W6905727353","doi":"10.15468/dl.sg5rwp","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Botryosphaeria; Range (aeronautics); Alien","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000941625,0.001971473,0.001567966,0.004766958,0.0009644217,0.002510672,0.002629707,0.001944712,0.1612514],"category_scores_gemma":[0.006284563,0.0008874731,0.001203472,0.009552982,0.0004332626,0.002198005,0.002502241,0.001838277,0.2085035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515571,"about_ca_system_score_gemma":0.002277794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02096085,"about_ca_topic_score_gemma":0.03368305,"domain_scores_codex":[0.9989964,0.0001395048,0.0001252587,0.0003667177,0.0002093619,0.0001626932],"domain_scores_gemma":[0.9976546,0.0007211653,0.0002210885,0.000579624,0.0005686307,0.0002548929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003206636,0.00001122775,0.0004030479,0.000608413,0.00001548677,0.00001506976,0.00002264164,0.0001335999,0.0001184555,0.0003704199,0.9968207,0.001448802],"study_design_scores_gemma":[0.00007896731,0.00001030381,0.001912482,0.0002088888,0.00001624035,0.00003792584,0.00006890759,0.0001667361,0.0001907434,0.0008420449,0.9964477,0.0000191834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004178635,0.0000279005,0.00004104301,0.00003549044,0.00001195817,0.000005125748,0.9988813,0.0003711874,0.0005841179],"genre_scores_gemma":[0.0001709755,0.00003787478,0.0002053988,0.0000506058,0.000003769287,0.00004693609,0.9988361,0.0001597619,0.0004886247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8387486,"threshold_uncertainty_score":0.5394397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}